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Google Cloud Training

Questo è un corso di microlearning di livello introduttivo volto a spiegare cos'è l'IA responsabile, perché è importante e in che modo Google implementa l'IA responsabile nei propri prodotti. Introduce anche i 7 principi dell'IA di Google.

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Syllabus

Introduzione all'IA responsabile
Questo è un corso di microlearning di livello introduttivo volto a spiegare cos'è l'IA responsabile, perché è importante e in che modo Google implementa l'IA responsabile nei propri prodotti. Introduce anche i 7 principi dell'IA di Google.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Esplora l'IA responsabile, uno standard nel settore tecnologico
Sviluppa una comprensione di base dell'IA responsabile e dei suoi principi
Fornito da Google Cloud Training, rinomato per la sua esperienza in IA e cloud computing
Si rivolge a un pubblico neofita che cerca un'introduzione all'IA responsabile

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Responsible AI - Italiano with these activities:
Pre-course Review of Fundamentals of AI
Review essential AI concepts to strengthen your understanding and prepare for the course.
Show steps
  • Read textbook chapters on AI fundamentals
  • Watch online lectures on basic AI concepts
  • Complete practice exercises to test your understanding
Explore Google's AI Platform Tools
Enhance your practical knowledge by exploring the functionalities and applications of Google's AI Platform tools.
Browse courses on Google Cloud AI Platform
Show steps
  • Follow guided tutorials on Google Cloud Machine Learning Engine
  • Experiment with AI Platform tools through hands-on exercises
Attend an AI Ethics Workshop
Expand your knowledge and actively engage in discussions on the ethical implications and best practices of AI.
Browse courses on AI Ethics
Show steps
  • Research and identify relevant AI ethics workshops
  • Attend an AI ethics workshop and participate in discussions
  • Reflect on the ethical considerations and challenges presented
Two other activities
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Solve AI Case Studies and Problems
Strengthen your problem-solving skills by practicing on AI case studies and solving AI-related problems.
Show steps
  • Collect a set of AI case studies and problems
  • Analyze the case studies and identify key issues
  • Develop and evaluate potential solutions
Design an AI Solution Proposal
Apply your understanding of responsible AI by designing a proposal for an AI solution that addresses real-world problems.
Browse courses on Solution Design
Show steps
  • Identify a problem that can be solved using AI
  • Research and analyze existing AI solutions
  • Design a comprehensive AI solution proposal
  • Present your proposal to peers for feedback

Career center

Learners who complete Introduction to Responsible AI - Italiano will develop knowledge and skills that may be useful to these careers:
AI Engineer
AI Engineers are responsible for the development and deployment of AI systems. They work with Data Scientists and Machine Learning Engineers to create AI systems that can learn from data and solve problems. This course can help AI Engineers understand the ethical implications of AI and how to develop AI systems that are responsible and ethical.
Machine Learning Engineer
Machine Learning Engineers are responsible for the development and deployment of machine learning models. They work with Data Scientists to create models that can learn from data and make predictions. This course can help Machine Learning Engineers understand the ethical implications of AI and how to develop AI models that are responsible and ethical.
Data Scientist
Data Scientists are responsible for collecting, analyzing, and interpreting data. They use their findings to help businesses make better decisions. This course can help Data Scientists understand the ethical implications of AI and how to use AI to solve problems in a responsible and ethical way.
Data Analyst
Data Analysts are responsible for collecting, analyzing, and interpreting data. They use their findings to help businesses make better decisions. This course can help Data Analysts understand the ethical implications of AI and how to use AI to solve problems in a responsible and ethical way.
Product Manager
Product Managers are responsible for the development and delivery of a company's products. They work with engineers and designers to create products that meet the needs of the market. This course can help Product Managers understand the ethical implications of AI and how to develop AI products that are responsible and beneficial.
Business Analyst
Business Analysts are responsible for understanding the business needs of an organization and recommending solutions to meet those needs. They work with stakeholders across the organization to identify and prioritize business requirements. This course can help Business Analysts understand the ethical implications of AI and how to use AI to solve business problems in a responsible and ethical way.
Project Manager
Project Managers are responsible for the planning, execution, and delivery of projects. They work with stakeholders across the organization to ensure that projects are completed on time, within budget, and to the required quality standards. This course can help Project Managers understand the ethical implications of AI and how to use AI to manage projects in a responsible and ethical way.
Software Engineer
Software Engineers are responsible for the development and maintenance of software applications. They work with designers and product managers to create software that meets the needs of users. This course can help Software Engineers understand the ethical implications of AI and how to develop AI-powered software that is responsible and ethical.
Information Security Analyst
Information Security Analysts are responsible for protecting an organization's information systems from cyber attacks. They work with IT staff to identify and mitigate security risks. This course can help Information Security Analysts understand the ethical implications of AI and how to use AI to protect information systems in a responsible and ethical way.
UX Designer
UX Designers are responsible for the design of user interfaces and experiences. They work with Product Managers and Engineers to create products that are easy to use and enjoyable to interact with. This course can help UX Designers understand the ethical implications of AI and how to design AI-powered products that are responsible and ethical.
Cybersecurity Analyst
Cybersecurity Analysts are responsible for protecting an organization's information systems from cyber attacks. They work with IT staff to identify and mitigate security risks. This course can help Cybersecurity Analysts understand the ethical implications of AI and how to use AI to protect information systems in a responsible and ethical way.
Risk Analyst
Risk Analysts are responsible for identifying and assessing risks to an organization. They work with management to develop and implement risk mitigation strategies. This course can help Risk Analysts understand the ethical implications of AI and how to use AI to identify and assess risks in a responsible and ethical way.
Compliance Analyst
Compliance Analysts are responsible for ensuring that an organization complies with applicable laws and regulations. They work with management to identify and mitigate compliance risks. This course can help Compliance Analysts understand the ethical implications of AI and how to use AI to ensure compliance in a responsible and ethical way.
UI Designer
UI Designers are responsible for the design of user interfaces. They work with UX Designers and Engineers to create products that are easy to use and enjoyable to interact with. This course can help UI Designers understand the ethical implications of AI and how to design AI-powered products that are responsible and ethical.
Fraud Analyst
Fraud Analysts are responsible for detecting and investigating fraudulent activities. They work with law enforcement and financial institutions to identify and prosecute fraudsters. This course can help Fraud Analysts understand the ethical implications of AI and how to use AI to detect and investigate fraud in a responsible and ethical way.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to Responsible AI - Italiano.
Questo libro fornisce una guida pratica alla progettazione di algoritmi responsabili e consapevoli dal punto di vista sociale. Spiega i concetti chiave dell'equità, della trasparenza e della responsabilità e fornisce esempi di come implementare questi principi nei sistemi di IA.
Questo libro fornisce una panoramica completa dei metodi per interpretare i modelli di apprendimento automatico. Spiega come comprendere come funzionano i modelli e come prendere decisioni informate basate sulle loro previsioni.
Questo libro presenta un approccio incentrato sull'uomo all'IA responsabile. Spiega come progettare e implementare sistemi di IA che siano allineati con i valori umani e che favoriscano il benessere umano.
Questo libro fornisce una guida pratica alla creazione e alla distribuzione di modelli di apprendimento automatico utilizzando le librerie Scikit-Learn, Keras e TensorFlow. È una risorsa preziosa per coloro che desiderano acquisire competenze pratiche nell'apprendimento automatico.
Questo libro esplora la sfida di allineare i sistemi di IA con i valori umani. Discute i pericoli dell'IA non allineata e propone strategie per garantire che l'IA sia utilizzata in modo responsabile.
Questo libro esplora le potenzialità e i pericoli dell'IA. Discute i progressi recenti nel campo dell'apprendimento automatico e spiega come l'IA potrebbe trasformare il mondo in modi sia positivi che negativi.
Questo libro fornisce un'ampia panoramica del futuro dell'umanità. Discute come l'IA, la biotecnologia e altre tecnologie emergenti potrebbero plasmare il nostro futuro e come possiamo garantire che sia un futuro positivo.
Questo libro fornisce una guida pratica all'apprendimento profondo utilizzando le librerie Fastai e PyTorch. È una risorsa preziosa per coloro che desiderano acquisire competenze pratiche nella creazione e nella distribuzione di modelli di apprendimento profondo.

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